Senior Data Scientist at HugeInc

HugeInc logo
HugeInc

Senior Data Scientist

Remote

Full Time

#Technology

#AI

#Data Science

#Python

#Pandas

#NumPy

#TensorFlow

#GCP

#Vertex AI

#Jupyter Notebook

#Google Colab

#Machine Learning

#Statistical Modeling

HugeInc is looking for a Senior Data Scientist

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Location: This position is remote within Colombia

About Intelligent Experiences.

The future is Intelligent Experiences (IX). Done well, with humans centered in the work, IX drives sustainable growth for businesses and brands, inspiring adoption and cutting through the boring that plagues the industry.

For 25 years, Huge has helped clients unlock new technologies and make experiences people love, from building user-centered digital businesses to navigating the explosion of channels to achieve unified brand experiences.

As a design & innovation company, Huge is pioneering the use of generative AI in Intelligent Experiences to transform how brands connect with their customers, creating deeply personalized, anticipatory services that not only captivate but also foster loyalty and increase the value brands bring customers and consumers.

What’s the role?

Huge is seeking a Senior Data Scientist to drive innovative, AI-powered solutions that create meaningful impact for our clients. In this role, you'll leverage your deep technical expertise and strategic mindset to collaborate across disciplines—partnering closely with creative, strategy, and data science teams—to unlock data-driven opportunities. You’ll be client-present, providing insights and recommendations that shape solutions, while ensuring technical excellence and business relevance.

To excel in this role, you should have at least five years of experience applying machine learning, statistical modeling, and generative intelligence to solve complex business challenges. Strong communication, problem-solving, and stakeholder management skills are essential, as a key driver in developing statistical models and machine learning algorithms within neural networks, as you’ll transform complex data into intelligent, scalable solutions that power real-world decision-making and innovation.

What you’ll be doing.

  • Cross-craft collaboration with teams such as creative and strategy to create business solutions
  • Operate in a hands-on role, developing statistical algorithm solutions and establishing data models for machine learning, and looking for opportunities to utilize AI
  • Work with APIs and build automated workflows for products
  • Work along the whole data science life cycle, from EDA, through feature engineering, model selection and training, evaluation, and deployment
  • Isolate and gather the insightful signals from disparate datasets, and be able to speak to these to a non-technical audience
  • Play an instrumental role in strategic optimizations by leveraging our suite of intelligent data products and solutions
  • Serve as a hands-on Data Scientist who thrives in a fast-paced environment and brings data science expertise into the portfolio of work

What we’re looking for.

  • 5+ years of experience within an agency or product design company
  • A degree in STEM is a plus
  • Excellent communication and presentation skills, especially as it pertains to internal and external non-technical audiences
  • Thorough understanding of MMM/Forecasting/NLP and production use of GenAI and Frameworks such as LangChain, DSPy, and MCP
  • Innate desire to remain at the forefront of the latest developments in the AI/ML space
  • Strong interest in continuing education and acquiring subsequent certifications


    Key Tool Set Requirements
    • Expert-level proficiency in Python, with hands-on experience leveraging libraries such as Pandas and NumPy for large-scale data manipulation, analysis, and feature engineering
    • Deep understanding of ML frameworks, particularly TensorFlow, to develop and optimize models for predictive analytics and AI-driven solutions
    • Extensive experience working in cloud environments, specifically (GCP), with strong proficiency in Vertex AI for deploying and scaling ML models
    • Hands-on experience with Jupyter Notebook and Google Colab, utilizing them for rapid prototyping, experimentation, and collaboration across teams
    • Ability to build and deploy scalable AI solutions, integrating cloud-native ML pipelines specifically with Vertex AI, GCP, and other cloud-based data services

If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license. To verify your degree requires this license, please visit www.copnia.gov.co and https://www.consejoprofesional.org.co/

About Huge

Huge is a design and technology company. We create products and experiences that grow the world’s most ambitious brands. We do this by designing experiences for people, not users, and uncovering new sources of growth by leveraging our creative talent, our proprietary platform LIVE and unlocking the advantages brought to us by emerging technologies. We believe all experiences should be intelligent, shoppable and unique to every brand.

Huge’s nearly 1,000 thinkers, tinkerers, makers and creators, have been problem-solving across North America, Europe, and Latin America for over 25 years. Interested? You’ll find more information at www.hugeinc.com.

Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially.

Workers shall not be required to pay employers’ or agents’ recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker.

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